Senior Director Analytics

Company Description

Dentsu is a modern marketing solutions company. Our mission is to help clients navigate, progress and thrive in a world of change. Businesses rely on our integrated network of agencies and specialized practices to champion meaningful progress through creative, media, commerce, data and technology. Part of Dentsu Group, our global network comprises 66,000 diverse people in 143 countries, who are dedicated to teaming for growth and good. Some of our award-winning agencies include 360i, Carat, dentsumcgarrybowen, DEG, dentsuX, iProspect and Merkle. Follow us on Twitter @DentsuUSA and visit dentsu.com/us. 

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

Job Description

Develop high-quality analytical solutions to client business problems, project plans, program plans, overall roadmap to deliver results today while positioning to deliver improved results for the future; Anticipate project risk and constraints and proactively work on solutions to address the risk/constraints; Lead a team/more than one team to complete large complex analytical projects end to end; Engage, manage and lead a team (including geographically dispersed); recruit, hire, develop and retain “A” players, while delivering constructive feedback to employees and holding difficult conversations with direct reports; Evaluate internal tools and processes; demonstrate thought leadership; contribute to innovation, process improvement, standardization; develop best practices, case studies, training class materials and white papers and/or present at industry conferences; Participate in the sales process through solution development and responses to RFPs; provide analytical solution scope/methodology/level of effort/pricing and give sales presentations; Own one or multiple client analytical relationships or digital capability area(s) with minimal support; presents ideas and findings to clients; SME in the following techniques: Predictive statistical modeling, Customer profiling, Segmentation Analysis, Design of Experiment and Test Measurement, Data Analysis and Mining, Break-Even Analysis; and Manage and mentor junior managers through regular meetings and exert judgment/take risks to achieve impact and deliver results. Recognized as a thought leader in a specific digital area.

Qualifications

Must have experience with the following in order to complete the above-mentioned tasks: Experience with modeling and statistical concepts; Experience with applying statistical techniques such as regression, ANOVA, cluster analysis, factor analysis, time series forecasting, experimental design, etc. to solve business problems; Possess core database marketing knowledge such as understanding of company and client data, relational database concepts, and direct marketing concepts; Possess core analytical competencies such as ability to formulate an analytical problem, QC data and results, summarize key findings/insights, make actionable recommendations, and develop new and innovative analytical solutions to solve challenging business problems; Understanding of digital data including the systems and processes used to generate and manipulate it by media type web, ad, email, mobile, etc.; Experience developing specific expertise areas within digital; Possess client/team engagement competencies such as gather specifications, develop analytical roadmap and approach and manage expectations, and coordinate delivery with internal team; Experience managing 3+ employees; Experience with R, Python or SAS, with SPSS and SQL, multi-variate statistics, logistic regression, multiple regression; Ability to explain/present complicated/advanced analytical methodology and results to non-technical audiences; Ability to discover hidden insights or complex patterns through advanced multi-variate data mining techniques on un-structured business problems; Ability to execute advanced analytical tasks (including but not limited to modeling, segmentation, DOE, forecasting, etc.) and create meaningful analytical outputs; Ability to identify areas for statistical innovation or process improvement, do independent research, develop innovative approaches or processes/codes to impr